Antigen Presentation Optimization

Antigen Presentation Optimization is a computational or experimental framework designed to enhance the efficiency and specificity of antigen processing and presentation by major histocompatibility complex molecules to T cells, thereby improving immune recognition and response in vaccine and immunotherapy design.

11

Publications

323

Citations

61

Authors

26

Institutions

Publications per year

2017–2026

3

Authors

61

  1. CB
    Cory Berkland

    University of Kansas, United States

    1 publications · 22 citations

    1

    h-index

  2. BS
    Barbara S. Fox

    University of Maryland, Baltimore, United States

    1 publications · 16 citations

    1

    h-index

  3. ZD
    Zheng Dai

    Harbin Institute of Technology, China

    1 publications · 12 citations

    1

    h-index

  4. FL
    François Le Grand

    École de management de Lyon, France

    1 publications · 14 citations

    1

    h-index

  5. JK
    Joonha Kwon

    Korea Advanced Institute of Science and Technology, South Korea

    1 publications · 36 citations

    1

    h-index

1–5 of 61

Venues

  1. Journal of Immunological Methods

    3 publications · 61 citations

    3

    h-index

  2. International Immunology

    1 publications · 22 citations

    1

    h-index

  3. Journal of Pharmaceutical Sciences

    1 publications · 22 citations

    1

    h-index

  4. PLoS Computational Biology

    1 publications · 104 citations

    1

    h-index

  5. Journal of Theoretical Biology

    1 publications · 14 citations

    1

    h-index

1–5